This paper investigates the use of locally deployed Compact Large Language Models (CLLMs) to support inclusive education by automatically adapting learning materials for students with diverse accessibility needs. We propose a structured framework for multi-profile accessibility adaptation based on explicit, constraint-...
M. Buzzi, Diletta Lelli, B. Leporini et al.· 0 citations
As multimodal interaction becomes central to digital learning, technical interfaces, such as eBooks and conversational agents, present unique accessibility challenges for users relying on the auditory modality. While modern Text-to-Speech (TTS) systems excel at rendering natural language, they often fail to convey the...
Marco Cardia, Letizia Angileri, M. Buzzi et al.· 0 citations
The analysis shows that most systems rely on smartphone-based solutions, followed by wearables and sensor-based platforms, while only a minority explicitly address low-vision users or distinguish congenital from acquired blindness.
A. Vozna, M. Buzzi, Elia Grassini et al.· Multimedia tools and applica...· 0 citations
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